Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

AI has the potential to disrupt and transform the way we deliver care globally. It is reputed to be able to improve the accuracy of diagnoses and treatments, and make the provision of services more efficient and effective. In surgery, AI systems could lead to more accurate diagnoses of health proble...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur:	Kerasidou, A
Fformat:	Journal article
Iaith:	English
Cyhoeddwyd:	Elsevier 2021

Eitemau Tebyg

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust
gan: Angeliki Kerasidou
Cyhoeddwyd: (2021-10-01)

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare
gan: Kerasidou, A
Cyhoeddwyd: (2020)

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare
gan: Kerasidou, A
Cyhoeddwyd: (2020)

The role of trust in global health research collaborations
gan: Kerasidou, A
Cyhoeddwyd: (2018)

Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
gan: Pummy Dhiman, et al.
Cyhoeddwyd: (2023-10-01)

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers
gan: Iam Palatnik de Sousa, et al.
Cyhoeddwyd: (2021-08-01)

Ethical governance is essential to building trust in robotics and artificial intelligence systems
gan: Winfield, A, et al.
Cyhoeddwyd: (2018)

Applied artificial intelligence for global child health: Addressing biases and barriers
gan: Vijaytha Muralidharan, et al.
Cyhoeddwyd: (2024-08-01)

Applied artificial intelligence for global child health: Addressing biases and barriers.
gan: Vijaytha Muralidharan, et al.
Cyhoeddwyd: (2024-08-01)

Austerity, health and ethics
gan: Kerasidou, A, et al.
Cyhoeddwyd: (2019)

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
gan: Dlugatch, R, et al.
Cyhoeddwyd: (2023)

Explainable Artificial Intelligence Methods to Enhance Transparency and Trust in Digital Deliberation Settings
gan: Ilias Siachos, et al.
Cyhoeddwyd: (2024-07-01)

Bias in artificial intelligence algorithms and recommendations for mitigation.
gan: Lama H Nazer, et al.
Cyhoeddwyd: (2023-06-01)

Bias in artificial intelligence algorithms and recommendations for mitigation
gan: Lama H. Nazer, et al.
Cyhoeddwyd: (2023-06-01)

Acceptance, initial trust formation, and human biases in artificial intelligence: Focus on clinicians
gan: Avishek Choudhury, et al.
Cyhoeddwyd: (2022-08-01)

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
gan: Rachel Dlugatch, et al.
Cyhoeddwyd: (2023-06-01)

Trust me, I’m a researcher!: The role of trust in biomedical research
gan: Kerasidou, A
Cyhoeddwyd: (2016)

Artificial intelligence, academic ethics, and global citizenship
gan: Shely Cathrin, et al.
Cyhoeddwyd: (2024-09-01)

Global disparity bias in ophthalmology artificial intelligence applications
gan: Nadia K Waheed, et al.
Cyhoeddwyd: (2022-04-01)

Algorithmic discrimination and ethical perspective of artificial intelligence /
gan: Kılıç, Muharrem, editor, et al.
Cyhoeddwyd: ([202)

Corrigendum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians
gan: Avishek Choudhury, et al.
Cyhoeddwyd: (2024-02-01)

“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease
gan: Hallowell, N, et al.
Cyhoeddwyd: (2022)

Data-driven research and healthcare: public trust, data governance and the NHS
gan: Kerasidou, A, et al.
Cyhoeddwyd: (2023)

What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)
gan: Moritz Renftle, et al.
Cyhoeddwyd: (2024-06-01)

Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research
gan: James Shaw, et al.
Cyhoeddwyd: (2024-04-01)

Before and beyond trust: reliance in medical AI
gan: Kerasidou, CX, et al.
Cyhoeddwyd: (2021)

Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health
gan: Richard Ribón Fletcher, et al.
Cyhoeddwyd: (2021-04-01)

On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments
gan: Justin Blackman, et al.
Cyhoeddwyd: (2025-03-01)

Ethical content in artificial intelligence systems: A demand explained in three critical points
gan: Ana Luize Corrêa Bertoncini, et al.
Cyhoeddwyd: (2023-03-01)

Ethics in Artificial Intelligence: Toward Foundations for Global Policy
gan: Choucri, Nazli
Cyhoeddwyd: (2022)

COVID-19 pandemic and artificial intelligence: challenges of ethical bias and trustworthy reliable reproducibility?
gan: Casimir Kulikowski, et al.
Cyhoeddwyd: (2021-03-01)

Editorial: Explainable artificial intelligence
gan: Chathurika S. Wickramasinghe, et al.
Cyhoeddwyd: (2023-10-01)

Explainable Artificial Intelligence in education
gan: Hassan Khosravi, et al.
Cyhoeddwyd: (2022-01-01)

“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease
gan: Nina Hallowell, et al.
Cyhoeddwyd: (2022-11-01)

Trusted artificial intelligence for environmental assessments: An explainable high-precision model with multi-source big data
gan: Haoli Xu, et al.
Cyhoeddwyd: (2024-11-01)

Global gene network exploration based on explainable artificial intelligence approach.
gan: Heewon Park, et al.
Cyhoeddwyd: (2020-01-01)

Data-driven research and healthcare: public trust, data governance and the NHS
gan: Angeliki Kerasidou, et al.
Cyhoeddwyd: (2023-07-01)

The Use of Artificial Intelligence in Health and Ethical Problems
gan: Leyla Özdemir, et al.
Cyhoeddwyd: (2021-12-01)

Considerations for addressing bias in artificial intelligence for health equity
gan: Michael D. Abràmoff, et al.
Cyhoeddwyd: (2023-09-01)

Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare
gan: Mohammad Ennab, et al.
Cyhoeddwyd: (2022-06-01)